Literature DB >> 33237338

Physical models of infant mortality: implications for defects in biological systems.

Alex Bois1, Eduardo M García-Roger2, Elim Hong3, Stefan Hutzler4, Ali Irannezhad5, Abdelkrim Mannioui1, Peter Richmond5, Bertrand M Roehner6, Stéphane Tronche1.   

Abstract

Reliability engineering concerned with failure of technical inanimate systems usually uses the vocabulary and notions of human mortality, e.g., infant mortality vs. senescence mortality. Yet, few data are available to support such a parallel description. Here, we focus on early-stage (infant) mortality for two inanimate systems, incandescent light bulbs and soap films, and show the parallel description is clearly valid. Theoretical considerations of the thermo-electrical properties of electrical conductors allow us to link bulb failure to inherent mechanical defects. We then demonstrate the converse, that is, knowing the failure rate for an ensemble of light bulbs, it is possible to deduce the distribution of defects in wire thickness in the ensemble. Using measurements of lifetimes for soap films, we show how this methodology links failure rate to geometry of the system; in the case presented, this is the length of the tube containing the films. In a similar manner, for a third example, the time-dependent death rate due to congenital aortic valve stenosis is related to the distribution of degrees of severity of this condition, as a function of time. The results not only validate clearly the parallel description noted above, but also point firmly to application of the methodology to humans, with the consequent ability to gain more insight into the role of abnormalities in infant mortality.

Entities:  

Keywords:  Aortic valve stenosis; Congenital malformations; Defect distributions; Failure rates; Infant mortality; Soap film lifetime experiments

Year:  2020        PMID: 33237338      PMCID: PMC7719151          DOI: 10.1007/s10867-020-09559-0

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  11 in total

Review 1.  The reliability theory of aging and longevity.

Authors:  L A Gavrilov; N S Gavrilova
Journal:  J Theor Biol       Date:  2001-12-21       Impact factor: 2.691

2.  A simple derivation of the Gompertz law for human mortality.

Authors:  B I Shklovskii
Journal:  Theory Biosci       Date:  2005-04       Impact factor: 1.919

3.  Thermodynamic and mechanical timescales involved in foam film rupture and liquid foam coalescence.

Authors:  Emmanuelle Rio; Anne-Laure Biance
Journal:  Chemphyschem       Date:  2014-09-26       Impact factor: 3.102

Review 4.  Magnitude and significance of the peak of early embryonic mortality.

Authors:  Qinghua Chen; Zengru Di; Eduardo M García Roger; Hui Li; Peter Richmond; Bertrand M Roehner
Journal:  J Biol Phys       Date:  2020-08-17       Impact factor: 1.365

Review 5.  On the rupture of thin films made from aqueous surfactant solutions.

Authors:  Dominique Langevin
Journal:  Adv Colloid Interface Sci       Date:  2019-11-15       Impact factor: 12.984

6.  Stability of big surface bubbles: impact of evaporation and bubble size.

Authors:  Jonas Miguet; Marina Pasquet; Florence Rouyer; Yuan Fang; Emmanuelle Rio
Journal:  Soft Matter       Date:  2019-12-23       Impact factor: 3.679

Review 7.  The natural history of aortic valve stenosis.

Authors:  D Horstkotte; F Loogen
Journal:  Eur Heart J       Date:  1988-04       Impact factor: 29.983

8.  Echocardiographic Follow-Up of Congenital Aortic Valvular Stenosis II.

Authors:  Ayşe Güler Eroğlu; Sezen Ugan Atik; Betül Çinar; Murat Tuğberk Bakar; İrfan Levent Saltik
Journal:  Pediatr Cardiol       Date:  2018-07-06       Impact factor: 1.655

9.  Second natural history study of congenital heart defects. Results of treatment of patients with aortic valvar stenosis.

Authors:  J F Keane; D J Driscoll; W M Gersony; C J Hayes; L Kidd; W M O'Fallon; D R Pieroni; R R Wolfe; W H Weidman
Journal:  Circulation       Date:  1993-02       Impact factor: 29.690

10.  Survival and weak chaos.

Authors:  Sean Nee
Journal:  R Soc Open Sci       Date:  2018-05-16       Impact factor: 2.963

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